Clustering-News-Unsupervised-Machine-Learning

This is a machine learning project which uses unsupervised machine learning algorithms such as k-means, k-medoids and agglomerative hierarchical clustering to group news articles into clusters based on their respective characteristics.

Link to deployed API of the machine learning model:

https://fake-news-pred.onrender.com/

Link to Swagger Documentation of the ml model:

https://fake-news-pred.onrender.com/docs

About the dataset used in this project

The dataset used in this project is named LIAR. To know more about the dataset, click here: https://github.com/tfs4/liar_dataset